On the achievable sum rate for two-way relay networks with stochastic energy harvesting

Wei Li, Meng Lin Ku, Yan Chen, K. J.Ray Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

In this paper, an optimal transmission policy for two-way relay networks is investigated by using a stochastic energy harvesting (EH) model. Considering the channel and finite battery conditions, we propose an optimal relay transmission policy to maximize the long-term achievable sum rate of the network. The design problem is formulated as a Markov decision process (MDP), and the well-known value iteration approach is used to find the optimal policy. Based on the optimal transmission policy, we analyze the expected achievable sum rate and point out a spreading structure for the optimal relay power with respect to the solar panel size. Simulation results demonstrate that our proposed optimal transmission policy outperforms other policies.

Original languageEnglish
Title of host publication2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages133-137
Number of pages5
ISBN (Electronic)9781479970889
DOIs
StatePublished - 5 Feb 2014
Event2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014

Conference

Conference2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
Country/TerritoryUnited States
CityAtlanta
Period3/12/145/12/14

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